VIT-QS

School of Advanced Sciences (SAS)

The School offer. M.Sc. programs in Mathematics, Physics and Chemistry. It also offers core and elective courses for all PG Programmes.

Courses Offered in Vellore Campus:

2-year Programs:

  • 1. M.Sc. Physics
  • 2. M.Sc. Chemistry (Organic / Inorganic / Analytical / Pharma)), RSC Accredited course (Applicable to forthcoming
    2021-2023 batch students).
  • 3. M.Sc. Data Science
  • 4. M.Sc. Business Statistics

5-Year Integrated Programs:

  • 5. Integrated Master of Science in Computational Statistics and Data Analytics
  • 6. Integrated Master of Science in Physics
  • 7. Integrated Master of Science in Mathematics
  • 8. Integrated Master of Science in Chemistry

Courses Offered in Chennai Campus:

  • 1. M.Sc. Data Science
  • 2. M.Sc. Chemistry
  • 3. M.Sc. Physics

For more information about programs offered in chennai campus (https://chennai.vit.ac.in).

Integrated M.Sc. Physics (5 Years)

About the program:
The Integrated M. Sc. program offered by SAS, VIT aims to train the students in high level theoretical, experimental and industrial exposure enabling them to tackle practical complex problems as well as to pursue further academic achievements through research. Since Physics, Chemistry and Mathematics are fundamental courses in sciences, students will be taught a mix of all these subjects including computer programming. In this period, all possible opportunities will be created for close interaction with research institutes as well as industries and the students will be exposed for high level training. After successful completion of the academic requirements students will be awarded a Master of Science degree

  • Graduates will acquire knowledge and expertise to excel in professional career.
  • Graduates will obtain and apply the practical and technical skills to identify, analyse and solve the problems related to the industries.
  • Graduates will develop and possess professional attitude and skills to be socially responsible individual and work as team in their work place and society considering the professionals ethics, environmental factors, and contribute to the economic growth of the country.
  • Graduates will utilize their expertise gained to pursue higher studies and outshine in careers like teaching, research or technologists.
  • Graduates will be competent to exhibit their acquired multidisciplinary skills for the lifelong learning in their professional and personal upliftment.

Mechanics / Mechanics Laboratory / Solid State Physics / Materials Science Laboratory / Properties of Matter / Mathematical Physics / Electricity and Magnetism / Advanced Mathematical Physics / Analog and Digital Electronics / Electronics Laboratory / Optics and Spectroscopy / Classical Mechanics / Principles of Quantum Mechanics / Advanced Quantum Mechanics / Statistical Mechanics / Electromagnetic Theory / Condensed Matter Physics / Laser Physics / Laser and Photonics Laboratory / Advanced Physics Laboratory / Computational Physics Laboratory /

Semiconductor Device Physics / Heat and Thermodynamics / Sound and Acoustics / Physics of Nanoscale / Characterization of Materials / Experimental Techniques in Physics / Physics of Photonic Devices / Quantum Optics / Quantum Information Theory / Functional Materials / Nuclear and Particle Physics / Fiber and Nonlinear Optics / Physics and Technology of Thin Films / Ferroelectrics and Dielectrics / Physics of Superconductors / Crystal Growth Techniques / Statistical Studies of Complex Systems / Applied Solid State Physics / Nonlinear Optics / Physics of Renewable Energy Systems / Molecular Simulation / Fluid Dynamics and Plasma Physics / Microprocessor and Microcontroller / Electronic Instrumentation /

  • In R & D Centres and Industries including Multi-national companies
  • Research Opportunities in Universities in India and Abroad
  • Teaching in Academic Institutions

Integrated M.Sc. Chemistry (5 Years)

About the program:

  • Department of Chemistry, School of Advanced Sciences, offers 5 year integrated master’s program in M.Sc. Chemistry with exit options at the end of 3rd and 4th year for the benefit of students
  • Offers 5-year integrated M.Sc program in General Chemistry
  • Focus of the program is to create a link between UG and PG within the same academic thread and prepare students for new generation of young scientists
  • Curriculum and syllabus aree benchmarked with top-ranking universities, facilitates experiential learning to the students.
  • Project based learning of the curriculum direct students to multiple research areas.
  • To divulge appropriate professional skills and technical knowledge to address the industrial and societal needs.
  • To build next generation of students to excel in their chosen field of career paths in teaching or research.
  • To realize the importance of being part of the economic growth of the country with social responsibility.

Calculus and Analytical Geometry / Calculus and Analytical Geometry Lab / Physics of Waves / Physics of Waves Laboratory / Inorganic and Organic Chemistry / Inorganic and Organic Chemistry Lab / Programming in Python / Programming in Python Laboratory / Ethics and Values / Ordinary and Partial Differential Equations / Modern Physics / Modern Physics Lab / Biological Sciences / Biological Sciences Lab / Physical and Analytical Chemistry / Physical and Analytical Chemistry Lab / Structured and Object Oriented Programming / Structured and Object Oriented Programming / Laboratory / Critical Thinking / Intra and interpersonal skills / Research Methodology / Foreign Language / Principles of Management

Organic Chemistry / Organic Qualitative and Quantitative Analysis Lab / Lab Safety Training / Physical Chemistry / Physical Chemistry Laboratory / Inorganic Chemistry / Inorganic Quantitative Analysis Laboratory / Organic Compounds Synthesis and Extraction Laboratory / Transition and Inner Transition Elements / Instrumental Methods of Chemical Analysis / Instrumental Methods of Analysis Laboratory / Inorganic Synthesis Laboratory / Chemistry of Heterocyclic and Natural Products / Chemical Kinetics, Catalysis and Surface Chemistry / Kinetics and Catalysis Laboratory / Advanced Organic Chemistry / Advanced Organic Chemistry laboratory / Advanced Inorganic Chemistry / Quantum Chemistry and Group Theory / Organic Synthesis / Bioinorganic Chemistry / Inorganic Materials Laboratory / Electro and Surface Analytical techniques / Electro and Surface Analytical techniques Laboratory

Stereochemistry and Spectroscopy / States of Matter and Colloids / Coordination and Organometallic Chemistry / Green Chemistry / Computational Chemistry / Industrial Organic Chemistry / Energy Storage Devices / Polymer Chemistry / Separation Techniques / Bioorganic Chemistry / Food Chemistry / Asymmetric Synthesis / Advanced Spectroscopy / Biophysical Chemistry / Contemporary Chemistry / Medicinal Chemistry / Quality Control and Quality Assurance / Inorganic Photochemistry and Spectroscopy / Organic Photochemistry / Industrial Catalysis / Laboratory Project / Design Project / Special Project / Study Project / Computer Project

S.No. Name of the Laboratory Venue
1 M.Sc. Analytical and Instrumentation Laboratory TT535
2 M.Sc. Organic Chemistry Laboratory TT221
3 M.Sc. Inorganic Chemistry Laboratory TT214
4 M.Sc. Chemistry Laboratory PBLG04
5 B.Tech. Engineering Chemistry Laboratory I SMVG09
6 B.Tech. Engineering Chemistry Laboratory II PBLG07
7 B.Tech. Materials Instrumentation Laboratory SMVG027
8 Chemistry Research Laboratory I SMV106
9 Chemistry Research Laboratory II SJTA102
10 Chemistry Research Laboratory III TT328
11 Chemistry Research Laboratory IV TT536
12 Chemistry of Heterocycles and Natural Product Research Laboratory TT210
13 Organometallic and Catalysis Research Lab TT327
14 Smart Material Laboratory for Biosensing and Catalysis TT309
15 Organic and Polymer Research Laboratory TT213
16 Pharmaceutical Chemistry Laboratory and Electrochemical Research Lab TT211
17 Organic Research Laboratory TT730
18 Nano and Bioelectrochemical Research Laboratory TT525
19 Organic and Medicinal Chemistry Research Laboratory - I TT224
20 Analytical and Materials Chemistry Research Laboratory TT217
21 Organic and Medicinal Chemistry Research Laboratory - II TT216
22 Material Chemistry Laboratory TT209
23 Advanced Materials and Catalysis Research Laboratory TT203
24 Main Group and Organometallics Lab TT203
25 Computational Chemistry Research Lab TT203
26 Optical Sensing Laboratory TT203
27 Sophisticated Instrumentation Facility (SIF) TT015
28 Fourier Transform Infrared Spectrophotometer & Thermogravimetric Analysis Laboratory TT343
29 Powder X- ray Diffractometer Facility – I TT038
30 Powder X- ray Diffractometer Facility – II CDMM01
31 High Resolution Mass Spectroscopy Lab CDMM01
32 Transmission Electron Microscopy Laboratory SMVG18

Curriculum is designed in such a way that students are trained for skill based learning. Project components are part of the curriculum to acquire experience in industry-oriented skills.

Integrated M.Sc. Mathemaics (5 Years)

The integrated M.Sc Mathematics offers wide spectrum of courses. Introductory level courses in algebra, analysis, and geometry help students to strengthen their mathematical maturity while advanced level courses complemented with case studies and projects promote involvement with faculty to strengthen research skills. The courses are designed to accommodate the future needs of students and society and to become the next generation leading researchers in their fields. Project and case studies are integral part of specialized courses offered in this programme. World class facilities, excellent laboratories and highly qualified faculty members give outstanding training in mathematics and its links to other disciplines.

  • Graduates will acquire knowledge and expertise to excel in professional career.
  • Graduates will obtain and apply the practical and technical skills to identify, analyse and solve the problems related to the industries.
  • Graduates will develop and possess professional attitude and skills to be socially responsible individual and work as team in their work place and society considering the professionals ethics, environmental factors, and contribute to the economic growth of the country.
  • Graduates will utilize their expertise gained to pursue higher studies and outshine in careers like teaching, research or technologists.
  • Graduates will be competent to exhibit their acquired multidisciplinary skills for the lifelong learning in their professional and personal upliftment.

Linear Algebra / Real Analysis / Ordinary Differential Equations / Complex Analysis / Introduction to Probability and Statistics / Introduction to Probability and Statistics Laboratory / Numerical Analysis / Numerical Analysis Laboratory / Basic Abstract Algebra / Operations Research / Discrete Mathematical Structures / Topology / Calculus of Variations and Integral Equations / Graph Theory / Functional Analysis / Partial Differential Equations / Transform Techniques / Measure and Integration / Statistical Inference / Statistical Inference Laboratory

Number Theory / Fuzzy Set Theory and its Applications / Mathematical Statistics / Engineering Optimization / Tensors and Differential Geometry / Classical Mechanics / Mathematical Ecology / Data Structures / Project-I / Mathematical Finance / Fluid Dynamics / Difference Equations and its Applications / Database Management / Project-II / Advanced Abstract Algebra / Advanced Complex Analysis / Numerical Solution to Partial Differential Equations / Stochastic Processes / Magnetohydrodynamics / Fractional Calculus with Applications / Finite Element Methods and Applications / Sobolev Spaces / Computational Fluid Dynamics / Mathematical Modelling and Simulation / Infinite Dimensional optimization and Control theory

  • Programming in Python Laboratory
  • Structured and Object Oriented Programming (C & C++) Laboratory
  • Programming in Java Laboratory
  • Introduction to Probability and Statistics Laboratory
  • Scientific computing Laboratory
  • Data analysis Laboratory
  • Statistical Inference Laboratory
  • Academic-Teaching
  • Scientists and Research
  • Finance, analytics, consulting, cryptography based security and information technology
  • LIC, Actuarial Sciences, Retail Analysis, Industries–Business Analyst
  • Military Operations such as DRDO, NAL, SETS, etc.
  • Operations Analyst /Project Development
  • Public Service Commissions
  • Central government jobs from ISRO, CFTRI and ONGC
  • TCS, INFOSYS, CTS, FORD, HCL, NOVARTIS and all MNC’s.
  • All National and International Banks

M.Sc.Physics

About the program:
The M.Sc. in Physics program is aimed to combine coursework components with hands-on research experience at every semester in the frontiers of basic physics and applied physics research. In the fourth semester of the degree course, the students will complete a research thesis, though at a lower level of comprehensiveness and depth than PhD theses. Therefore, this degree course is truly a holistic development for the Masters students to solve the real-world societal problems through innovative ideas. Industry connectivity for research and appropriate subjects learning are common goal for this course curriculum. This is also to ensure that opportunities are created for pursuing further research career in the industries as well as in the Universities in India and abroad.

  • Graduates will be practitioners and leaders in their chosen field.
  • Graduates will function in their profession with social awareness and responsibility.
  • Graduates will interact with their peers in other disciplines in their work place and society and contribute to the economic growth of the country.
  • Graduates will be successful in pursuing higher studies in their chosen field.
  • Graduates will pursue career paths in teaching or research
S.No. Course Code Course Title L T P J C
1.        MAT5007 Applied Statistical Methods 2 0 2 0 3
2.        PHY6099 Master’s Thesis 0 0 0 0 14
3.        RES5001 Research Methodology 2 0 0 0 2
4.        SET5001 Science, Engineering and Technology Project – I 0 0 0 0 2
5.        SET5002 Science, Engineering and Technology Project – II 0 0 0 0 2
6.        SET5003 Science, Engineering and Technology Project – III 0 0 0 0 2
7.        ENG5003  English for Science and Technology 0 0 4 0 2
8.        STS4001  Soft Skills 3 0 0 0 1
9.        STS4002  Soft Skills 3 0 0 0 1
S.No. Course Code Course Title L T P J C
1.        PHY5001  Mathematical Physics 3 2 0 0 4
2.        PHY5002 Classical Mechanics 3 2 0 0 4
3.        PHY5003  General Physics Lab-I 0 0 4 0 2
4.        PHY5004 Electromagnetic Theory 4 0 0 0 4
5.        PHY5005  Quantum Mechanics 4 0 0 0 4
6.        PHY5006 Statistical Mechanics 3 0 0 0 3
7.        PHY5007 General Physics Lab-II 0 0 4 0 2
S.No. Course Code Course Title L T P J C
1.        PHY6001 Introduction to Solid State Physics 3 0 0 4 4
2.        PHY6002 Nuclear and Particle Physics 3 0 0 4 4
3.        PHY6003 Atomic and Molecular Physics 3 0 0 4 4
4.        PHY6004 Basic Electronics 3 0 0 4 4
5.        PHY6005 Advanced Solid State Theory 3 0 0 0 3
6.        PHY6006 Nanomaterials and its applications 3 0 0 0 3
7.        PHY6007 Optoelectronics 3 0 2 0 4
8.        PHY6008 Laser and Fiber Optics 3 0 0 0 3
9.        PHY6009 Bio Physics 3 0 0 0 3
10.    PHY6010 Microwave Physics and Device Technology 3 0 0 0 3
11.    PHY6012 Solid State Magnetism 3 0 0 0 3

University Elective Baskets

S.No. Course Code Course Title L T P J C
1 PHY6006 Nanomaterials and its applications 3 0 0 0 3
2 PHY6008 Laser and Fiber Optics 3 0 0 0 3
  • Teaching in academic institutions
  • In R & D centers and Industries including multinational companies
  • Research opportunities in Universities in India and abroad as well

M.Sc. Chemistry (Organic / Inorganic / Analytical / Pharma)

About the program:

  • Department of Chemistry, School of Advanced Sciences, offers master’s program, M.Sc. Chemistry accredited by the coveted Royal Society of Chemistry (RSC) UK.
  • Offers specialization in Analytical / Inorganic / Organic / General Chemistry / Pharmaceutical Chemistry.
  • Primary goal of the program is to prepare a new generation of young scientists with professional capabilities to meet the technical and societal needs of the 21st century.
  • Curriculum for Applied learning (CAL), benchmarked with top-ranking universities, facilitates experiential learning to the students.
  • Project components of the curriculum expose them to different research areas.
  • To impart the required professional skills and technical knowledge to meet the industrial and societal needs.
  • To enable the students to excel in their chosen field of career paths in teaching or research.
  • To contribute to the economic growth of the country with social awareness and responsibility.

Theory Courses (PC)
Inorganic Chemistry / Analytical Chemistry / Physical Chemistry / Organic Chemistry

Lab Courses (PC)
Inorganic Chemistry Practical I / Analytical Chemistry Practical I / Physical Chemistry Practical I / Organic Chemistry Practical I

Theory Courses (PE)

  • Analytical chemistry Specialization:
    Group Theory and Molecular Spectroscopy/ Electroanalytical and separation technique / Environmental and Industrial Analytical Chemistry / Bioanalytical & Forensic Analysis/ Analytical Quality Assurance for Process Industry.
  • Inorganic Chemistry Specialization:
    Advanced Inorganic Chemistry / Group Theory and Molecular Spectroscopy / Materials Chemistry / Nanomaterials & Characterization Techniques / Inorganic Photochemistry.
  • Organic Chemistry Specialization:
    Advanced Organic Chemistry /Chemistry of Heterocyclic Compounds / Organic Synthesis and Methodologies / Group Theory and Molecular Spectroscopy / Photochemistry and Pericyclic Reactions.
  • Pharmaceutical Chemistry Specialization:
    Pharmaceutical Quality Control and Quality Assurance/ Process Chemistry in Pharmaceutical Industry / Group Theory and Molecular Spectroscopy / Pharmacognosy and Phytochemistry / Medicinal Chemistry
  • General Chemistry:
    Advanced Inorganic Chemistry / Advanced Organic Chemistry/ Advanced Physical Chemistry / Group Theory and Molecular Spectroscopy /one optional paper from (Analytical Quality Control and Quality Assurance / Organic Synthesis and Methodologies / Materials Chemistry / Medicinal Chemistry).

Lab Courses (PE)

 

  • Analytical chemistry:
    Analytical Chemistry Practical II / Analytical Chemistry practical III
  • Inorganic Chemistry:
    Inorganic Chemistry Practical II / Inorganic Chemistry Practical II
  • Organic Chemistry:
    Organic Chemistry Practical II / Organic Chemistry Practical III
  • Pharmaceutical Chemistry:
    Medicinal Chemistry Practical / Pharmacognosy & Phytochemistry Practical
  • General Chemistry:
    Analytical & Physical Chemistry Practical/ Organic & Inorganic Chemistry Practical.
  • M.Sc. Analytical and Instrumentation Laboratory
  • M.Sc. Organic Chemistry Laboratory
  • M.Sc. Inorganic Chemistry Laboratory
  • M.Sc. Chemistry Laboratory
  • Chemistry Research Laboratory I
  • Chemistry Research Laboratory II
  • Chemistry Research Laboratory III
  • Chemistry Research Laboratory IV
  • Chemistry of Heterocycles and Natural Product Research Laboratory
  • Organometallic and Catalysis Research Lab
  • Smart Material Laboratory for Biosensing and Catalysis
  • Organic and Polymer Research Laboratory
  • Pharmaceutical Chemistry Laboratory and Electrochemical Research Lab
  • Organic Research Laboratory
  • Nano and Bioelectrochemical Research Laboratory
  • Organic and Medicinal Chemistry Research Laboratory - I
  • Analytical and Materials Chemistry Research Laboratory
  • Organic and Medicinal Chemistry Research Laboratory - II
  • Material Chemistry Laboratory
  • Advanced Materials and Catalysis Research Laboratory
  • Main Group and Organometallics Lab
  • Computational Chemistry Research Lab
  • Optical Sensing Laboratory
  • Sophisticated Instrumentation Facility (SIF)
  • Fourier Transform Infrared Spectrophotometer & Thermogravimetric Analysis Laboratory
  • Powder X- ray Diffractometer Facility - I
  • Powder X- ray Diffractometer Facility - II
  • High Resolution Mass Spectroscopy Lab
  • Transmission Electron Microscopy Laboratory

Curriculum is designed in such a way that students are trained for skill based learning. Project components are part of the curriculum to acquire experience in industry-oriented skills.

M.Sc (Data Science)

This programme equips the students thoroughly in practical as well as theoretical knowledge in data mining and applied statistics through modules in artificial intelligence, visualisation, programming and database manipulation. The students are made employable for careers as data analysts and data scientists, which are the emerging needs in wide range of industries, academia and government.

  • To demonstrate proficiency with statistical analysis of Data.
  • To execute statistical analyses with professional statistical software.
  • To demonstrate skill in Data management.
  • To develop the ability to build and assess Data-based models.
  • To apply data science concepts and methods to solve problems in real-world contexts and will communicate these solutions effectively.

 

Matrix Theory and Linear Algebra / Probability Theory and Distributions / Statistical Inference/ Regression Analysis and Predictive Models / Time series analysis and Forecasting / Multivariate Data Analysis.

Artificial intelligence for Data Science / Machine learning for Data Science / Deep learning / Programming for Data Analysis/ Design and Analysis of Experiments / Optimization Techniques / Statistical Quality Control/ Programming for Data Science / Computational Statistics for Data Science

The computer lab is equipped with Intel CORE I5 processors connected through the high-speed Local area network to access vast intellectual resources. Students are expected to use the lab facility in their day-to-day study to implement and experiment with knowledge acquired in the classroom. All the PCs have advanced and latest software: Microsoft Office, Microsoft visual studio. Net 2012, Python-3.4.3/38, Java 1.8, MATLAB 2015A, R-Software / R- Studio, SPSS23, TEX Studio, Oracle Client 11g.

  • IT firms, Tech firms, Business firms, Consultancies, Industries, R&D firms
  • Banking and Financial Services
  • Market Research Companies
  • Energy and Utilities
  • Pharma and Healthcare
  • E-commerce
  • Media and Entertainment
  • Telecom Industry
  • Automobile Industry
  • Retail and CPG
  • Tourism & Development

Integrated M.Sc.( Computational Statistics and Data Analytics)

The demand for data analytics and processing experts is on the growing trend as the need to handle huge amount of data is increasing across all domains. In multinational companies relies on data scientists for proper usage of the huge amount of data they gather. This Programme is designed with an aim to equip the students to learn, understand and practice through advanced statistical software’s related to data science and machine learning approaches, with a focus on rendering solution to industrial applications. This integrated program is designed with an objective to offer the fundamental concepts of computational statistics and data analytics and advanced subjects related to data science applications which will offer a better placement opportunity to students. This course will focuses on subjects in statistics, machine learning and would offer an opportunity for a clear understanding of related tools on data science domain.
Program Highlights:

  • Program designed with curriculum for applied learning
  • Students learn through real time application and projects.
  • Soft skill training
  • Capstone project (Xth Semester)

 

Integrated M.SC (CS & DA) students will be able to

 

  • Apply knowledge of quantitative aptitude, computing techniques, programming knowledge to analysis real world problem and requirements
  • Provide solutions to the computing problems and reaching conclusions using principles of statistics, computational science, and data analytic tools.
  • Create, Select, adapt and apply suitable statistical techniques and modern computing tools for data analysis.
  • Fundamentals of statistics
  • Probability of random variables
  • Statistical Methods for Data Analysis
  • Distribution Theory and Its applications
  • Sampling Techniques
  • Linear Algebra and Numerical Methods
  • Discrete Mathematics
  • Statistical inference
  • Predictive Modelling
  • Design and Experiments
  • Programming for Data Analysis
  • Computational Statistics for Data Science
  • Statistics Computing for Data Analysis
  • Applied Forecasting Methods
  • Operations research for Data Analysis
  • Multivariate Statistical Analysis
  • Statistical Quality Control
  • Data base Management Systems
  • Design and Analysis of Algorithm
  • Total Quality Management
  • Non-Parametric Statistics
  • Machine learning for Data Analysis
  • Modelling And Simulation
  • Applied Econometric Analysis
  • Biostatistics
  • Big Data Analytics
  • Decision Modelling Techniques
  • Actuarial statistics
  • IoT Data Analytics
  • Deep Learning for Analytics
  • Data Warehousing and Data Mining
  • Web Technologies
  • Decision Support System
  • Artificial Intelligence for Data Analytics
  • Data Engineering for Analytics
  • Software Quality and Testing
  • Cloud Computing Techniques
  • Programming in C
  • Objective Oriented Programming
  • Advance Java

Specially designed world class laboratories for SPSS, MATLAB, R and Python programming etc,.

The master program in computational statistics and data analysis is designed to cater the fastest growing job scenarios with a big demand for analytics, data analysis and data mining. The curriculum emphasis the principle of statistics and analytics and it encompasses courses like time series analysis, statistical quality control, data visualizations, Machine learning etc. The students get exposed to intuitively analyze data and equipped with marketable skills built on solid foundation to take up positions like data analytics, quality control manager, business analytics, data engineer, data manager and statistician and system analysts or pursue a research career.

M.Sc. (Business Statistics)

  • Research Centres
  • Manufacturing Sector
  • Pharmaceutical Companies
  • Educational Institutes
  • Scientific Research Organisations
  • Public Sector Research Organisations
  • Market Research Companies
  • Banking Sector
  • Insurance Companies